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This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressin
Federated Learning
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This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applicati
Federated Learning Systems
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This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. Th
Transfer Learning
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Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability t
Advances and Open Problems in Federated Learning
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The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learn